Benjamin Hoff is a Digitization Team Leader with 11 years of engineering experience who blends chemical engineering fundamentals with hands-on manufacturing and safety expertise to modernize OLED and dye production at PPG. He drives continuous improvement through Lean, Lean Sigma, 5S and SAP-driven manufacturing processes while coaching teams in safety-critical skills like confined space, hazmat response, LOTO and OSHA practices. A practical problem-solver, he pairs production engineering and contractor management with process safety and Management of Change governance to deliver reliable, auditable operations. Uncommonly for a manufacturing leader, he also contributes to open-source computer vision tooling—enhancing CVAT’s auto-annotation and model integrations—bringing ML-driven automation insight to digitization initiatives.
11 years of coding experience
B.S., Chemical Engineering, B.S., Chemical Engineering at The University of Toledo
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Role in this project:
ML Engineer
Contributions:38 commits, 50 PRs, 149 comments in 10 months
Contributions summary:Benjamin made significant contributions to the auto-annotation functionality of the CVAT project, focusing on integrating various machine learning models for automated object detection and segmentation. They implemented new models, including Faster R-CNN with Inception v2, YOLOv3, and Mask R-CNN, demonstrating expertise in computer vision and model integration. The user also addressed API issues, added features such as PDF extraction and a command-line runner, and handled OpenVINO versions, showing a strong understanding of model deployment and optimization.
Contributions:2 PRs, 88 pushes, 8 branches in 2 years 9 months
python
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Benjamin Hoff - Digitization Team Leader OLED And Dye